Risk management in agile

from http://resources.infosecinstitute.com/risk-management-agile/

Does Agile’s approach to project management in fact endanger the safety of an organization’s projects?Agile was created in order to deal with high-risk projects. There are three main types of risks from the investor’s perspective, and insist that they must be mastered fairly quickly.

  • Risk of delivery – the project may not be delivered on time, at a given budget and quality.
  • Risk of business value – the project may have no value.
  • Risk to the business model – that the project may hurt the existing organization of work.

data mining analytics and-knowledge discovery softwares

from http://www.kdnuggets.com/software/suites.html

  • 11Ants Model Builder, a desktop predictive analytics modelling tool, which includes regression, classification and propensity models. A related product is 11Ants Predictor, a high speed scoring engine for deploying predictive models against enterprise databases.

  • AdvancedMiner (formerly Gornik), a platform for data mining and analysis, featuring modeling interface (OOP script, latest GUI design, advanced visualization) and grid computing.

  • Affinium Model (from Unica), includes valuator, profiler, response modeler, and cross seller.

  • Alice d'Isoft, offers interactive decision trees for the business user.

  • Angoss Knowledge Studio, a comprehensive suite of data mining and predictive modeling tools; interoperability with SAS and other major statistical tools.

  • ASA's ModelMAX, predictive modeling and clustering analysis for business users that want fast and accurate results.

  • BayesiaLab, a complete and powerful data mining tool based on Bayesian networks, including data preparation, missing values imputation, data and variables clustering, unsupervised and supervised learning.

  • BioComp i-Suite, constraint-based optimization, cause and effect analysis, non-linear predictive modeling, data access and cleaning, and more.

  • BLIASoft Knowledge Discovery software, for building models from data based mainly on fuzzy logic.

  • Clementine from SPSS, leading visual rapid modeling environment for data mining. Now includes Clementine Server.

  • Data Applied, offers a comprehensive suite of web-based data mining techniques, an XML web API, and rich data visualizations.

  • Data Miner Software Kit, collection of data mining tools, offered in combination with a book: Predictive Data Mining: A Practical Guide, Weiss and Indurkhya.

  • DataDetective, the powerful yet easy to use data mining platform and the crime analysis software of choice for the Dutch police.

  • DataLab, a complete and powerful data mining tool with a unique data exploration process, with a focus on marketing and interoperability with SAS.

  • DBMiner 2.0 (Enterprise), powerful and affordable tool to mine large databases; uses Microsoft SQL Server 7.0 Plato

  • Delta Miner, integrates new search techniques and "business intelligence" methodologies into an OLAP front-end that embraces the concept of Active Information Management.

  • ESTARD Data Miner, simple to use, designed both for data mining experts and common users.

  • EWA Systems, complete Java-based data-mining suite, including a full range of high-performance rules-based, Bayesian, neural, and SVM techniques.

  • Exeura RialtoTM provides comprehensive support for the entire data mining and analytics lifecycle at an affordable price in a single, easy-to-use tool.

  • Fair Isaac Model Builder, software platform for developing and deploying analytic models, includes data analysis, decision tree and predictive model construction, decision optimization, business rules management, and open-platform deployment.

  • FastStats Suite (Apteco), marketing analysis products, including data mining, customer profiling and campaign management.

  • GainSmarts, uses predictive modeling technology that can analyze past purchase, demographic, and lifestyle data , to predict the likelihood of response and develop an understanding of consumer characteristics.

  • Generation5 GenVoy, On-Demand Consumer Analytics.

  • GenIQ Model, uses machine learning for regression task; automatically performs variable selection, and new variable construction, and then specifies the model equation to "optimize the decile table".

  • GhostMiner, complete data mining suite, including k-nearest neighbors, neural nets, decision tree, neurofuzzy, SVM, PCA, clustering, and visualization.

  • GMDH Shell, an advanced but easy to use tool for predictive modeling and data mining.

  • Golden Helix Optimus RP, uses Formal Inference-based Recursive Modeling (recursive partitioning based on dynamic programming) to find complex relationships in data and to build highly accurate predictive and segmentation models.

  • IBM Intelligent Miner Data Mining Suite, now fully integrated into the IBM InfoSphere Warehouse software; includes Data and Text mining tools (based on UIMA).

  • JMP, offers significant visualization and data mining capabilities along with classical statistical analyses.

  • K.wiz, from thinkAnalytics - massively scaleable, embeddable, Java-based real-time data-mining platform. Designed for Customer and OEM solutions.

  • Kaidara Advisor, (formerly Acknosoft KATE), Case-Based Reasoning (CBR) and data mining engine.

  • Kensington Discovery Edition, high-performance discovery platform for life sciences, with multi-source data integration, analysis, visualisation, and workflow building.

  • Kepler, extensible, multi-paradigm, multi-purpose data mining system.

  • KnowledgeMiner, a self-organizing modeling tool that uses GMDH neural nets and artificial intelligence to easily extract knowledge from data. (MacOS)

  • KnowledgeMiner (yX) for Excel, a knowledge mining tool that works with data stored in Microsoft Excel for building predictive and descriptive models. (MacOS, Excel 2004 or later).

  • Kontagent kSuite DataMine, a SaaS User Analytics platform offering real-time behavioral insights for Social, Mobile and Web, offering SQL-like queries on top of Hadoop deployments.

  • KXEN (Knowledge eXtraction ENgines), providing Vapnik SVM (Support Vector Machines) tools, including data preparation, segmentation, time series, and SVM classifiers.

  • LIONsolver 2.0, Learning and Intelligent OptimizatioN: modeling and optimization with "on the job learning" for business and engineering by Reactive Search SrL.

  • LPA Data Mining tools support fuzzy, bayesian and expert discovery and modeling of rules.

  • Magnify PATTERN, software suite, contains PATTERN:Prepare for data preparation; PATTERN:Model for building predictive models; and PATTERN:Score for model deployment

  • Mathematica solution for Data Analysis and Mining, from Wolfram.

  • MCubiX from Diagnos, a complete and affordable data mining toolbox, including decision tree, neural networks, associations rules, visualization, and more.

  • MERKUR Miner Plus combines OLAP high speed and visualization with Data Mining to create forecasting and classification models.

  • Microsoft SQL Server 2005, empowers informed decisions with predictive analysis through intuitive data mining, seamlessly integrated within the Microsoft BI platform, and extensible into any application.

  • mlf (Machine Learning Framework), provides analysis, prediction, and visualization using fuzzy logic and ML methods; implemented in C++ and integrated into Mathematica.

  • Model 1, Response Modeler, Segmenter and Profiler, Customer Valuator, and Cross-Seller modules with a wizard GUI.

  • Molegro Data Modeller, a cross-platform application for Data Mining, Data Modelling, and Data Visualization.

  • Nuggets, builds models that uncover hidden facts and relationships, predict for new data, and find key variables (Windows).

  • Oracle Data Mining (ODM), enables customers to produce actionable predictive information and build integrated business intelligence applications.

  • Palisade DecisionTools Suite, Complete risk and decision analysis toolkit.

  • Partek, pattern recognition, interactive visualization, and statistical analysis & modeling system.

  • Pentaho open-source BI suite, including reporting, analysis, dashboards, data integration, and data mining based on Weka.

  • Polyanalyst, comprehensive suite for data mining, now also including text analysis, decision forest, and link analysis. Supports OLE DB for Data Mining, and DCOM technology.

  • Powerhouse Data Mining software for predictive and clustering modelling,based on Dorian Pyle's ideas on using Information Theory in data analysis. Most information is in Spanish.

  • Predictive Data Mining Suite from Predictive Dynamix integrates graphical and statistical data analysis with modeling algorithms including neural networks, clustering, fuzzy systems, and genetic algorithms.

  • Previa family of products for classification and forecasting.

  • RiverGlass software offers data mining, streaming data analysis, visualization, and more.

  • Quadstone DecisionHouse provides data extraction, management, pre-processing and visualisation, plus customer profiling, segmentation and geographical display.

  • RapAnalyst(tm), uses advanced artificial intelligence to create dynamic predictive models, to reveal relationships between new and historical data.

  • Rapid Insight Analytics streamlines the predictive modeling and data exploration process, enabling users of all abilities to quickly build, test, and implement statistical models at lightning speed.

  • Reel Two, real-time classification software for structured and unstructured data as well entity extraction. From desktop to enterprise.

  • Salford Systems Data Mining Suite: CART Decision Trees, MARS predictive modeling, automated regression, TreeNet classification and regression, data access, preparation, cleaning and reporting modules, RandomForests predictive modeling, clustering and anomaly detection.

  • SAS Enterprise Miner, an integrated suite which provides a user-friendly GUI front-end to the SEMMA (Sample, Explore, Modify, Model, Assess) process.

  • SPAD, provides powerful exploratory analyses and data mining tools, including PCA, clustering, interactive decision trees, discriminant analyses, neural networks, text mining and more, all via user-friendly GUI.

  • SPSS featuring Clementine, SPSS and other data mining tools.

  • StarProbe, cross-platform, very fast on big data, star schema support, special tools & features for data with rich categorical dimensional information.

  • Statistica Data Miner, a comprehensive, integrated statistical data analysis, graphics, data base management, and application development system.

  • Synapse, a development environment for neural networks and other adaptive systems, supporting the entire development cycle from data import and preprocessing via model construction and training to evaluation and deployment; allows deployment as .NET components.

  • Teradata Warehouse Miner and Teradata Analytics, providing analytic services for in-place mining on a Teradata DBMS.

  • thinkCRA from thinkAnalytics, an integrated suite of Customer Relationship Analytics applications supporting real-time decisioning.

  • TIBCO Spotfire Miner, combining Spotfile visualization, Insightful Miner, S+ with intuitive drag-and-drop user interface.

  • TIMi Suite: The Intelligent Mining machine, a family of stand-alone, automated, user-friendly GUI tools for prediction, segmentation and data preparation, with high scalability, speed, ROI & prediction accuracy (a recurrent top winner at KDD cups).

  • Viscovery data mining suite, a unique, comprehensive data mining suite for business applications with workflow-guided project environment; includes modules for visual data mining, clustering, scoring, automation and real-time integration.

  • WITNESS Miner, a graphical data mining tool with decision trees, clustering, discretisation, feature subset selection, and more.

  • XLMiner, Data Mining Add-In For Excel.

  • Xpertrule Miner 4.0, (Attar Software) features data transformation, Decision Trees, Association Rules and Clustering on large scale data sets.

  • Zoom 'n View, the plug-in reporting solutions.

Free and Shareware

  • ADaM, Algorithm Development and Mining version 4.0 toolkit

  • AlphaMiner, open source data mining platform that offers various data mining model building and data cleansing functionality.

  • CRAN Task View: Machine Learning & Statistical Learning, machine learning and statistical packages in R.

  • Databionic ESOM Tools, a suite of programs for clustering, visualization, and classification with Emergent Self-Organizing Maps (ESOM).

  • ELKI: Environment for DeveLoping KDD-Applications Supported byIndex-Structures, a framework in Java which includes clustering, outlier detection, and other algorithms; allows user to evaluate the combination of arbitrary algorithms, data types, and distance functions.

  • Gnome Data Mining Tools, including apriori, decision trees, and Bayes classifiers.

  • jHepWork, an interactive environment for scientific computation, data analysis and data visualization designed for scientists, engineers and students.

  • KEEL, includes knowledge extraction algorithms, preprocessing techniques, evolutionary rule learning, genetic fuzzy systems, and more.

  • KNIME, extensible open source data mining platform implementing the data pipelining paradigm (based on eclipse).

  • Machine Learning in Java (MLJ), an open-source suite of Java tools for research in machine learning.

  • MiningMart, a graphical tool for data preprocessing and mining on relational databases; supports development, documentation, re-use and exchange of complete KDD processes. Free for non-commercial purposes.

  • ML-Flex, an open-source software package designed to enable flexible and efficient processing of disparate data sets for machine-learning (classification).

  • MLC++, a machine learning library in C++. Also Kansas State U. port of MLC++: Binary (tar.gz), and Linux source.

  • Orange, open source data analytics and mining through visual programming or Python scripting. Components for visualization, rule learning, clustering, model evaluation, and more.

  • RapidMiner, a leading open-source system for knowledge discovery and data mining.

  • Rattle, a data mining suite based on open source statistical language R, includes graphics, clustering, modeling, and more.

  • StarProbe, Web-based multi-user server available for academic institutions.

  • TANAGRA, offers a GUI interface and methods for data access, statistics, feature selection, classification, clustering, visualization, association and more.

  • Weka, collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform.

visualization sites